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Whereas Hadoop reads and writes files to HDFS, Spark processes data in RAM using a concept known as an RDD, Resilient Distributed Dataset. Spark can run either in stand-alone mode, with a Hadoop cluster serving as the data source, or in conjunction with Mesos .
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